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<a href="#pub-methods">Public Member Functions</a>  </div>
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<div class="title">IGCKernel Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div>  </div>
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<p>Common interface for all the GLES kernels.  
 <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>&gt;</code></p>
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Collaboration diagram for IGCKernel:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:abd51b7f007e5846ae05efdaca32e876c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abd51b7f007e5846ae05efdaca32e876c">IGCKernel</a> ()</td></tr>
<tr class="memdesc:abd51b7f007e5846ae05efdaca32e876c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#abd51b7f007e5846ae05efdaca32e876c">More...</a><br /></td></tr>
<tr class="separator:abd51b7f007e5846ae05efdaca32e876c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abca9f85e09acd3e4de49711b62dc8549"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml">GCKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abca9f85e09acd3e4de49711b62dc8549">kernel</a> ()</td></tr>
<tr class="memdesc:abca9f85e09acd3e4de49711b62dc8549"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a reference to the GLES kernel of this object.  <a href="#abca9f85e09acd3e4de49711b62dc8549">More...</a><br /></td></tr>
<tr class="separator:abca9f85e09acd3e4de49711b62dc8549"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae7a1e979b3442bd2f7732b5f51d5dded"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
<tr class="memdesc:ae7a1e979b3442bd2f7732b5f51d5dded"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#ae7a1e979b3442bd2f7732b5f51d5dded">More...</a><br /></td></tr>
<tr class="separator:ae7a1e979b3442bd2f7732b5f51d5dded"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a633d6a0cb573106e4d420b664cb29b66"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
<tr class="memdesc:a633d6a0cb573106e4d420b664cb29b66"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#a633d6a0cb573106e4d420b664cb29b66">More...</a><br /></td></tr>
<tr class="separator:a633d6a0cb573106e4d420b664cb29b66"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa9ed9d806fc3364df21027387b9e735a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)</td></tr>
<tr class="memdesc:aa9ed9d806fc3364df21027387b9e735a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.  <a href="#aa9ed9d806fc3364df21027387b9e735a">More...</a><br /></td></tr>
<tr class="separator:aa9ed9d806fc3364df21027387b9e735a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a770f45838881fc061294e56d64f34386"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a770f45838881fc061294e56d64f34386">num_arguments_per_1D_tensor</a> () const </td></tr>
<tr class="memdesc:a770f45838881fc061294e56d64f34386"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object.  <a href="#a770f45838881fc061294e56d64f34386">More...</a><br /></td></tr>
<tr class="separator:a770f45838881fc061294e56d64f34386"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac734502531e7f95e25b3bf688a304a59"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ac734502531e7f95e25b3bf688a304a59">num_arguments_per_2D_tensor</a> () const </td></tr>
<tr class="memdesc:ac734502531e7f95e25b3bf688a304a59"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object.  <a href="#ac734502531e7f95e25b3bf688a304a59">More...</a><br /></td></tr>
<tr class="separator:ac734502531e7f95e25b3bf688a304a59"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4feaae9c860cddfa843d37c953674a22"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a4feaae9c860cddfa843d37c953674a22">num_arguments_per_3D_tensor</a> () const </td></tr>
<tr class="memdesc:a4feaae9c860cddfa843d37c953674a22"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object.  <a href="#a4feaae9c860cddfa843d37c953674a22">More...</a><br /></td></tr>
<tr class="separator:a4feaae9c860cddfa843d37c953674a22"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f56c8bb44166634652b877d6eb7a9a2"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a>)=0</td></tr>
<tr class="memdesc:a6f56c8bb44166634652b877d6eb7a9a2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enqueue the OpenGL ES shader to process the given window.  <a href="#a6f56c8bb44166634652b877d6eb7a9a2">More...</a><br /></td></tr>
<tr class="separator:a6f56c8bb44166634652b877d6eb7a9a2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3c6173aecfebc9030bf8a0bee0c0ced8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8">set_lws_hint</a> (<a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> &amp;lws_hint)</td></tr>
<tr class="memdesc:a3c6173aecfebc9030bf8a0bee0c0ced8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the Local-Workgroup-Size hint.  <a href="#a3c6173aecfebc9030bf8a0bee0c0ced8">More...</a><br /></td></tr>
<tr class="separator:a3c6173aecfebc9030bf8a0bee0c0ced8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">set_target</a> (<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target)</td></tr>
<tr class="memdesc:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture.  <a href="#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
<tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a646cd535a16835b246c3367a63d96250"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a646cd535a16835b246c3367a63d96250">get_target</a> () const </td></tr>
<tr class="memdesc:a646cd535a16835b246c3367a63d96250"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the targeted GPU architecture.  <a href="#a646cd535a16835b246c3367a63d96250">More...</a><br /></td></tr>
<tr class="separator:a646cd535a16835b246c3367a63d96250"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
<tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
<tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor.  <a href="#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
<tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#abfab8f0d4928e1081d9f65b77933e24a">is_parallelisable</a> () const </td></tr>
<tr class="memdesc:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable.  <a href="#abfab8f0d4928e1081d9f65b77933e24a">More...</a><br /></td></tr>
<tr class="separator:abfab8f0d4928e1081d9f65b77933e24a inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#aa6daa9b04e2035bf007e5e5c3c4396a8">border_size</a> () const </td></tr>
<tr class="memdesc:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel.  <a href="#aa6daa9b04e2035bf007e5e5c3c4396a8">More...</a><br /></td></tr>
<tr class="separator:aa6daa9b04e2035bf007e5e5c3c4396a8 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">window</a> () const </td></tr>
<tr class="memdesc:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on.  <a href="#a3f5646133956f06348b310ccc3d36353">More...</a><br /></td></tr>
<tr class="separator:a3f5646133956f06348b310ccc3d36353 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Common interface for all the GLES kernels. </p>

<p>Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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          <td class="memname"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml">IGCKernel</a> </td>
          <td>(</td>
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<p>Constructor. </p>

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<h2 class="groupheader">Member Function Documentation</h2>
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          <td class="memname">void add_1D_tensor_argument </td>
          <td>(</td>
          <td class="paramtype">unsigned int &amp;&#160;</td>
          <td class="paramname"><em>idx</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
          <td class="paramname"><em>tensor</em>, </td>
        </tr>
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          <td class="paramtype">const unsigned int&#160;</td>
          <td class="paramname"><em>binding_point</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
          <td class="paramname"><em>window</em>&#160;</td>
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        <tr>
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<p>Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a>'s binding point in this kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
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          <td class="paramtype">unsigned int &amp;&#160;</td>
          <td class="paramname"><em>idx</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
          <td class="paramname"><em>tensor</em>, </td>
        </tr>
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          <td class="paramkey"></td>
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          <td class="paramtype">const unsigned int&#160;</td>
          <td class="paramname"><em>binding_point</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
          <td class="paramname"><em>window</em>&#160;</td>
        </tr>
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<p>Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a>'s binding point in this kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
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          <td>(</td>
          <td class="paramtype">unsigned int &amp;&#160;</td>
          <td class="paramname"><em>idx</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
          <td class="paramname"><em>tensor</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const unsigned int&#160;</td>
          <td class="paramname"><em>binding_point</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
          <td class="paramname"><em>window</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
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<p>Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">idx</td><td>Index at which to start adding the tensor's arguments.Input and output tensor will have sperated index, multiple indices start from 1, single index have to be set to 0. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to set as an argument of the object's kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">binding_point</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a>'s binding point in this kernel. </td></tr>
    <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td><a class="el" href="classarm__compute_1_1_window.xhtml" title="Describe a multidimensional execution window. ">Window</a> the kernel will be executed on. </td></tr>
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<p>Get the targeted GPU architecture. </p>
<dl class="section return"><dt>Returns</dt><dd>The targeted GPU architecture. </dd></dl>

<p>Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00122">122</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p>

<p>References <a class="el" href="namespacearm__compute.xhtml#a0f68015f649819f1102aa73d7b88b29e">arm_compute::enqueue()</a>, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abca9f85e09acd3e4de49711b62dc8549">IGCKernel::kernel()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>, and <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353">IKernel::window()</a>.</p>
<div class="fragment"><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    {</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        <span class="keywordflow">return</span> _target;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    }</div></div><!-- fragment -->
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          <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml">GCKernel</a>&amp; kernel </td>
          <td>(</td>
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<p>Returns a reference to the GLES kernel of this object. </p>
<dl class="section return"><dt>Returns</dt><dd>A reference to the GLES kernel of this object. </dd></dl>

<p>Referenced by <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00122">IGCKernel::get_target()</a>.</p>

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          <td class="paramname"></td><td>)</td>
          <td> const</td>
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<p>Returns the number of arguments enqueued per 1D tensor object. </p>
<dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 1D tensor object. </dd></dl>

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          <td class="paramname"></td><td>)</td>
          <td> const</td>
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<p>Returns the number of arguments enqueued per 2D tensor object. </p>
<dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 2D tensor object. </dd></dl>

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<p>Returns the number of arguments enqueued per 3D tensor object. </p>
<dl class="section return"><dt>Returns</dt><dd>The number of arguments enqueues per 3D tensor object. </dd></dl>

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          <td class="memname">virtual void run </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
          <td class="paramname"><em>window</em></td><td>)</td>
          <td></td>
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<p>Enqueue the OpenGL ES shader to process the given window. </p>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a3f5646133956f06348b310ccc3d36353" title="The maximum window the kernel can be executed on. ">window()</a>). </td></tr>
  </table>
  </dd>
</dl>

<p>Implemented in <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DNormKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCBatchNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixMultiplyKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCIm2ColKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCCol2ImKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCWeightsReshapeKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCTensorShiftKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCArithmeticAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMInterleave4x4Kernel</a>, <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPoolingLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDirectConvolutionLayerKernel&lt; kernel_size &gt;</a>, <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCFillBorderKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDropoutLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCLogits1DShiftExpSumKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDepthConcatenateLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_transpose1x_w_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMTranspose1xWKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCAbsoluteDifferenceKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCNormalizePlanarYUVLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAdditionKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCNormalizationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCActivationLayerKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCDepthwiseConvolutionLayer3x3Kernel</a>, <a class="el" href="classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCPixelWiseMultiplicationKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCGEMMMatrixAccumulateBiasesKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_scale_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCScaleKernel</a>, <a class="el" href="classarm__compute_1_1_g_c_transpose_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">GCTransposeKernel</a>, <a class="el" href="classarm__compute_1_1_i_g_c_simple3_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple3DKernel</a>, and <a class="el" href="classarm__compute_1_1_i_g_c_simple2_d_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">IGCSimple2DKernel</a>.</p>

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          <td class="memname">void set_lws_hint </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> &amp;&#160;</td>
          <td class="paramname"><em>lws_hint</em></td><td>)</td>
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<p>Set the Local-Workgroup-Size hint. </p>
<dl class="section note"><dt>Note</dt><dd>This method should be called after the configuration of the kernel</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[in]</td><td class="paramname">lws_hint</td><td>Local-Workgroup-Size to use </td></tr>
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<p>Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00104">104</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        _lws_hint = lws_hint;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div></div><!-- fragment -->
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          <td class="memname">void set_target </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td>
          <td class="paramname"><em>target</em></td><td>)</td>
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<p>Set the targeted GPU architecture. </p>
<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramdir">[in]</td><td class="paramname">target</td><td>The targeted GPU architecture </td></tr>
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<p>Definition at line <a class="el" href="_i_g_c_kernel_8h_source.xhtml#l00113">113</a> of file <a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    {</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        _target = target;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    }</div></div><!-- fragment -->
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<hr/>The documentation for this class was generated from the following file:<ul>
<li>arm_compute/core/GLES_COMPUTE/<a class="el" href="_i_g_c_kernel_8h_source.xhtml">IGCKernel.h</a></li>
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